Course development and history
Substitution models and their design.
Models for variation in evolutionary speed.
The tree reconsiliation and models of duplication and loss of genes.
Inference methods such as ML and MCMC.
Inference tools such as MrBayes and RevBayes.
The general aim is to give basic knowledge of modelling of evolution.
After completed course, you should be able to
- be familiar with important evolutionary models of substitutions duplications/losses, intensity changes etc.
- apply these models on real data using popular tools
- understand inference methods that are used for phylogenetic problems
- adapt known models to new problems
No information inserted
If the course is discontinued, students may request to be examined during the following two academic years.
Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability. The examiner may apply another examination format when re-examining individual students.
EECS/Computational Science and Technology